Marzetti (MZTI) Total Non-Current Liabilities (2010 - 2026)
Marzetti (MZTI) posted Total Non-Current Liabilities of $532.44 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 102.3% from $263.13 million a year earlier and up 83.4% from the prior quarter.
Marzetti (MZTI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Marzetti has reported Total Non-Current Liabilities for 65 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.3% (FY2021 to FY2026).
- In prior fiscal years, Marzetti's Total Non-Current Liabilities was $263.13 million in FY2025 (-1.0%), $265.8 million in FY2024 (+14.1%), $233.04 million in FY2023 (+3.6%) and $224.97 million in FY2022 (-2.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2026, with growth of 102.3%; the weakest was fiscal Q3 2024, with a decline of 8.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $290.28 million (Q3 2026), $274.68 million (Q2 2026) and $298.47 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 532.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 532.44 Mn |
| Mar 31, 2026 | 290.28 Mn |
| Dec 31, 2025 | 274.68 Mn |
| Sep 30, 2025 | 298.47 Mn |
| Jun 30, 2025 | 263.13 Mn |
| Mar 31, 2025 | 265.86 Mn |
| Dec 31, 2024 | 246.19 Mn |
| Sep 30, 2024 | 256.96 Mn |
| Jun 30, 2024 | 265.80 Mn |
| Mar 31, 2024 | 243.94 Mn |
| Dec 31, 2023 | 224.88 Mn |
| Sep 30, 2023 | 235.22 Mn |
| Jun 30, 2023 | 233.04 Mn |
| Mar 31, 2023 | 265.68 Mn |
| Dec 31, 2022 | 238.15 Mn |
| Sep 30, 2022 | 249.38 Mn |
| Jun 30, 2022 | 224.97 Mn |
| Mar 31, 2022 | 242.44 Mn |
| Dec 31, 2021 | 230.54 Mn |
| Sep 30, 2021 | 237.59 Mn |
Marzetti Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=MZTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MZTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();